com.databricks.labs.automl.model.tools
PostModelingOptimization
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package tools
Helper method for converting a Dataframe of predicted hyper parameters into configurations that can be used by models (for post-run hyper parameter optimization)
Helper method for converting a Dataframe of predicted hyper parameters into configurations that can be used by models (for post-run hyper parameter optimization)
The predicted sets of highest probability hyper parameter collections
An Array of RandomForest Configurations to be used in generating model runs.
Generates an array of RandomForestConfig hyper parameters to meet the configured target size
Generates an array of RandomForestConfig hyper parameters to meet the configured target size
a distinct array of RandomForestConfig's
Helper method for reading a case class definition, getting the defined names of each key, and returning them as an iterable list.
Helper method for reading a case class definition, getting the defined names of each key, and returning them as an iterable list.
The class type as derived through reflection
The List of all case class member names
Method for taking a collection of permutations generated per each hyper parameter and converting them into a collection that can be used to execute models by building out all possible permutations of the generated hyper parameter collections.
Method for taking a collection of permutations generated per each hyper parameter and converting them into a collection that can be used to execute models by building out all possible permutations of the generated hyper parameter collections.
The Array of values generated for possible hyper parameters for the permutation collection creation
Array of Random Forest configurations based on permutations of each value within the arrays supplied.
Method for generating linear and log spaces for potential hyper parameter values for the model
Method for generating linear and log spaces for potential hyper parameter values for the model
Configuration value for the generation of permutation arrays
Arrays for all numeric parameters that will be generated for input into the permutation generator
Main accessor for generating permutations for a RandomForest Model
Main accessor for generating permutations for a RandomForest Model
Configuration for holding the numeber of permutations to generate and the boundaries of the search space
Total maximum count of permutations to return
Seed for determining the random sample of permutations that are generated due to the sheer count of permutations that are generated to search the space effectively.
An Array of RandomForest Configurations to be used in generating model runs.
Calculates the number of possible additional permutations to be added to the search space for string values
Calculates the number of possible additional permutations to be added to the search space for string values
The string boundary payload for a modeling family
Int representing any additional permutations on the numeric body that will need to be generated in order to attempt to reach the target unique hyperparameter search space